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Modeling use of space from social media data using a biased random walker / Steven D. Prager in Transactions in GIS, vol 18 n° 6 (December 2014)  

Public [article]  inTransactions in GIS > vol 18 n° 6 (December 2014) . - pp 817 – 833 Titre : Modeling use of space from social media data using a biased random walker Type de document : Article/Communication Auteurs : Steven D. Prager, Auteur ; Paul Wiegand, Auteur Année de publication : 2014 Article en page(s) : pp 817 – 833 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] comportement [Termes IGN] données socio-économiques [Termes IGN] environnement [Termes IGN] modélisation spatiale [Termes IGN] navigation pédestre [Termes IGN] New York (Etats-Unis ; ville) Résumé : (Auteur) Individuals and other entities move through space as a function of local characteristics of place, their internal behavioral models, and the topological structure of the underlying space. When a collection of locations (i.e. geotagged photos or other geotagged social media information) from a large number of individuals is assembled, it becomes possible to understand the interrelationship between the individuals and the space they occupy. This research systematically considers this interrelationship through an examination of the effect of the intersection of behavioral and spatial characteristics on individuals moving on street networks. The research illustrates how social media data, in combination with a biased random walker, can be used to understand and model the interaction of spatial structure and social-environmental factors on influencing individuals' use of their environment. The biased walker offers a flexible approach to incorporate consideration of both social-environmental and structural factors into a model and we demonstrate this through a case study wherein we are able to use the random walker to model the characteristics of Flickr users in New York City. Numéro de notice : A2014-572 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12069 Date de publication en ligne : 18/11/2013 En ligne : https://doi.org/10.1111/tgis.12069 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74762 [article]